Literature DB >> 28957109

Rapid focus map surveying for whole slide imaging with continuous sample motion.

Jun Liao, Yutong Jiang, Zichao Bian, Bahareh Mahrou, Aparna Nambiar, Alexander W Magsam, Kaikai Guo, Shiyao Wang, Yong Ku Cho, Guoan Zheng.   

Abstract

Whole slide imaging (WSI) has recently been cleared for primary diagnosis in the U.S. A critical challenge of WSI is to perform accurate focusing in high speed. Traditional systems create a focus map prior to scanning. For each focus point on the map, a sample needs to be static in the x-y plane, and axial scanning is needed to maximize the contrast. Here we report a novel focus map surveying method for WSI. In this method, we illuminate the sample with two LEDs and recover the focus points based on 1D autocorrelation analysis. The reported method requires no axial scanning, no additional camera and lens, works for stained and transparent samples, and allows continuous sample motion in the surveying process. By using a 20× objective lens, we demonstrate a mean focusing error of ∼0.08  μm in the static mode and ∼0.17  μm in the continuous motion mode. The reported method may provide a turnkey solution for most existing WSI systems due to its simplicity, robustness, accuracy, and high speed. It may also standardize the imaging performance of WSI systems for digital pathology and find other applications in high-content microscopy, such as time-lapse live-cell imaging.

Year:  2017        PMID: 28957109     DOI: 10.1364/OL.42.003379

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  6 in total

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Journal:  Transl Gastroenterol Hepatol       Date:  2021-04-05

2.  Transform- and multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging.

Authors:  Shaowei Jiang; Jun Liao; Zichao Bian; Kaikai Guo; Yongbing Zhang; Guoan Zheng
Journal:  Biomed Opt Express       Date:  2018-03-08       Impact factor: 3.732

3.  Deep learning-based single-shot autofocus method for digital microscopy.

Authors:  Jun Liao; Xu Chen; Ge Ding; Pei Dong; Hu Ye; Han Wang; Yongbing Zhang; Jianhua Yao
Journal:  Biomed Opt Express       Date:  2021-12-14       Impact factor: 3.732

4.  Illumination angle correction during image acquisition in light-sheet fluorescence microscopy using deep learning.

Authors:  Chen Li; Mani Ratnam Rai; H Troy Ghashghaei; Alon Greenbaum
Journal:  Biomed Opt Express       Date:  2022-01-21       Impact factor: 3.732

5.  Rapid and robust whole slide imaging based on LED-array illumination and color-multiplexed single-shot autofocusing.

Authors:  Shaowei Jiang; Zichao Bian; Xizhi Huang; Pengming Song; He Zhang; Yongbing Zhang; Guoan Zheng
Journal:  Quant Imaging Med Surg       Date:  2019-05

6.  Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraint.

Authors:  Yongbing Zhang; Yangzhe Liu; Shaowei Jiang; Krishna Dixit; Pengming Song; Xinfeng Zhang; Xiangyang Ji; Xiu Li
Journal:  J Biomed Opt       Date:  2021-03       Impact factor: 3.170

  6 in total

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